Sovereign AI in practice: Trust, cost efficiency, and control with Red Hat AI

As organizations accelerate AI adoption, many are realizing that true sovereign AI requires more than regulatory compliance. It demands trust in how systems behave, the flexibility to adapt as technology evolves, and a cost structure that can scale sustainably. Closed, vertically integrated AI stacks make this difficult: they obscure model decision-making, lock organizations into specific vendors, and drive up inference costs as usage grows.

In this webinar Red Hat® experts will show how to build sovereign AI that is open, modular, and cost-efficient by design. They’ll explain how organizations can scale AI usage responsibly—optimizing cost, performance, and control without sacrificing capability. You’ll learn how: 

• Open source enables transparency and verifiability.
• Modular architectures let organizations swap models, serving runtimes, or accelerators as needs change.
• Hybrid cloud deployment ensures data residency and operational control. 

Join us to discover how to build an AI foundation that is trusted, adaptable, and future-proof—without vendor lock-in.